Q.How can different methods of sampling and data collection be useful in impact evaluation of government social schemes. Describe with a suitable example 2018-15mrks.

Model answer outline:

A sample is a cross section of the population. Sampling techniques are used to estimate some characteristics of the entire population. It comes in two forms : probability and non probability. Under probability technique, randomly selected BPL-households using gas stove for cooking under the Ujjawala scheme may give us data about the satisfaction level of the scheme. For this, we may use survey methods involving questionnaire or rating scale. Some individuals, for example may give it 3 point as the cost of cylinder is about Rs 1000 even when subsidy is given after some time. Other may give better points like 8 or 10 on a ten points rating scale.

Both samples and methods of data collection are important. We cannot use a non probability technique ( quota sampling for example) to generalise the results for the entire population. Likewise, we can not use a case study method to infer the liking of the whole population for the scheme.

The non probability technique of sampling like cluster sampling may be useful in assessing the viewpoints of different peoples on Kishan samman scheme. Non probability sampling techniques focus on definite inclusiveness of the members of the target groups. We may servay farmers and non farmers for their attitudes towards this scheme. Again, we can not use case study methods in this case to collect data.

Case studies methods, however, could be used to assess rural development under ” Shansad adrash gram yojana”. In depth studies of a few such cases in point can reveal the effectiveness of this government scheme..

# Kindly elaborate the ideas

2 thoughts on “Q.How can different methods of sampling and data collection be useful in impact evaluation of government social schemes. Describe with a suitable example 2018-15mrks.”

  1. A sample is a small representative of a large whole.The purpose of sampling is to derived desired information at minimum cost and with maximum reliability.
    We can do sampling in two ways-probability sampling and non probabiity sampling.For evaluating the impact of government scheme like MGNREGS in the empowerment of womens probability sampling will give the most reliable data for instance by stratifying the beneficiaries into male beneficiaries and female beneficieries or by simply observing the work site that how many women are working and then interviewing them that how they spend their income like getting edduction for tbeir children ,fulfilling household responsibility,or by just saving in bank etc. Also taking data from the govermnent reports like lobour force participation report, ASER etc.
    On the other hand by using non probability method of sampling through haphazard sampling we can asses that how much behavoural change has been occured in citizens in the matter of open defecation after the SWACHH BHARAT ABHIYAN -RURAL programme of central government by observing, interviewing and collecting data from government websites like how many new toilets have been built in particular constituencies etc.

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